Spaces:
Sleeping
Sleeping
Create app.py
Browse files
app.py
ADDED
|
@@ -0,0 +1,77 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import json
|
| 2 |
+
|
| 3 |
+
import gradio as gr
|
| 4 |
+
import spaces
|
| 5 |
+
from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
|
| 6 |
+
|
| 7 |
+
from format.format_output import format_output
|
| 8 |
+
from validate.validate_ingredients import validate_ingredients
|
| 9 |
+
from device.get_device_id import get_device_id
|
| 10 |
+
|
| 11 |
+
tokenizer = AutoTokenizer.from_pretrained("Ashikan/dut-recipe-generator")
|
| 12 |
+
model = AutoModelForCausalLM.from_pretrained("Ashikan/dut-recipe-generator")
|
| 13 |
+
pipe = pipeline("text-generation", model=model, tokenizer=tokenizer, device=get_device_id())
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
@spaces.GPU
|
| 17 |
+
def perform_model_inference(ingredients_list):
|
| 18 |
+
for ingredient_index in range(len(ingredients_list)):
|
| 19 |
+
ingredients_list[ingredient_index] = ingredients_list[ingredient_index].strip()
|
| 20 |
+
|
| 21 |
+
input_text = '{"prompt": ' + json.dumps(ingredients_list)
|
| 22 |
+
|
| 23 |
+
output = pipe(input_text, max_length=1024, temperature=0.1, do_sample=True, truncation=True)[0]["generated_text"]
|
| 24 |
+
|
| 25 |
+
return format_output(output)
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
def generate_recipe(ingredients):
|
| 29 |
+
ingredients_list = ingredients.lower().split(',')
|
| 30 |
+
is_ingredients_valid = validate_ingredients(ingredients_list)
|
| 31 |
+
|
| 32 |
+
if is_ingredients_valid:
|
| 33 |
+
generated_text = perform_model_inference(ingredients_list)
|
| 34 |
+
|
| 35 |
+
return {
|
| 36 |
+
generated_recipe: gr.Markdown(value=generated_text, label="Generated Recipe",
|
| 37 |
+
elem_id="recipe-container", visible=True)
|
| 38 |
+
}
|
| 39 |
+
else:
|
| 40 |
+
error_text = "## Invalid ingredients. Please include at least 2 ingredients in a comma separated list. e.g. brown rice, onions, garlic"
|
| 41 |
+
|
| 42 |
+
return {
|
| 43 |
+
generated_recipe: gr.Markdown(value=error_text, elem_id="recipe-container", visible=True)
|
| 44 |
+
}
|
| 45 |
+
|
| 46 |
+
|
| 47 |
+
with gr.Blocks(css="./css/styles.css") as recipegen:
|
| 48 |
+
gr.Image("./assets/dut.png", interactive=False, show_share_button=False, show_download_button=False,
|
| 49 |
+
show_fullscreen_button=False, show_label=False, elem_id="dut-logo", height=256)
|
| 50 |
+
gr.Markdown("# Recipe Generator", elem_id="header")
|
| 51 |
+
gr.Markdown("### An AI Model Attempting To Produce Healthier, Diabetic-Friendly Recipes",
|
| 52 |
+
elem_id="header-sub-heading")
|
| 53 |
+
gr.Markdown("Start by entering a comma-separated list of ingredients below.", elem_id="header-instructions")
|
| 54 |
+
with gr.Column() as column:
|
| 55 |
+
user_ingredients = gr.Textbox(label="Ingredients", autofocus=True, max_lines=1, elem_id="ingredients-input")
|
| 56 |
+
generate_button = gr.Button(value="Generate")
|
| 57 |
+
with gr.Column():
|
| 58 |
+
generated_recipe = gr.Markdown(visible=True)
|
| 59 |
+
examples = gr.Examples(
|
| 60 |
+
elem_id="examples",
|
| 61 |
+
examples=[
|
| 62 |
+
"sweet potato, mushrooms, cheese, garlic",
|
| 63 |
+
"chicken breast, chili, onion, tomato, parmesan cheese",
|
| 64 |
+
"strawberries, vanilla, honey, rolled oats, almonds, butter",
|
| 65 |
+
"hake, spring onion, lemon"
|
| 66 |
+
],
|
| 67 |
+
inputs=[user_ingredients]
|
| 68 |
+
)
|
| 69 |
+
|
| 70 |
+
generate_button.click(
|
| 71 |
+
fn=generate_recipe,
|
| 72 |
+
inputs=[user_ingredients],
|
| 73 |
+
outputs=[generated_recipe]
|
| 74 |
+
)
|
| 75 |
+
|
| 76 |
+
recipegen.launch(share=True)
|
| 77 |
+
|